Jonathan Boniface
e6f10ba8c9
Adds the normative contract every platform agent must conform to, plus a
working reference template under template/ that ticks every box out of
the box.
Spec is derived from the production agents shipped in
cjot-backstage-az/agents/ on branch sandbox/jonathan:
- agent-registry, agent-factory, decomposer, discovery-agent,
golden-path, modernization-factory, modernization-factory-v2,
policy-transformer, scaffold-agent, support-intake-agent, the-watcher
Contents:
- SPEC.md normative contract (13 sections + conformance checklist)
- CHANGELOG.md spec versioning (1.0.0)
- docs/
registration.md self-registration with the agent-gateway
observability.md OTel logs/metrics/traces wiring
manifest.md /.well-known/agent.json schema + AgentSkill
serialisation (pydantic vs protobuf)
kubernetes.md k8s deployment shape, mandatory cross-refs,
per-namespace agents, resource sizing
deployment.md .image-version, ACR build, deploy scripts, rollback
deviations.md tracked debts against the spec
- template/
.env.local.example, .gitignore, .image-version (0.1.0),
Dockerfile (python:3.12-slim, non-root UID 1001, HEALTHCHECK),
requirements.txt (harness floor + optional LLM stack),
app/agent.py (Starlette entry, lifespan + self-registration,
defensive _skill_dict for pydantic vs protobuf),
app/logging_setup.py (canonical OTel log bridge — copy verbatim),
app/metrics.py (meter + example counter/histogram),
app/skills.py (AGENT_CONFIG + AgentSkill list),
k8s/configmap.yaml + deployment.yaml (Deployment + Service,
OTel annotations + 6-var env block,
agents-sa + agents-kv-spc bindings),
scripts/deploy.sh (auto-bump + az acr build + apply + rollout),
scripts/full-deploy.sh (preflight + deploy + post-deploy smoke),
scripts/deploy-local.sh (docker/podman + .env.local)
25 lines
1.2 KiB
Plaintext
25 lines
1.2 KiB
Plaintext
# ─── Web server ─────────────────────────────────────────────────────────
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uvicorn[standard]>=0.32.1
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starlette>=0.40.0
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pydantic>=2.11.0
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python-dotenv>=1.0.0
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httpx>=0.27.0
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# ─── A2A skill model (optional but recommended) ─────────────────────────
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# Skill definitions are protobuf-backed in current releases; the
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# _skill_dict helper in app/agent.py handles serialisation either way.
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a2a-sdk[http-server]>=0.3.0
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# ─── OpenTelemetry ──────────────────────────────────────────────────────
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# The OTel Operator init container ships the SDK; the agent only needs
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# the API surface plus the LangChain instrumentor for LLM spans.
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opentelemetry-api>=1.27.0
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openinference-instrumentation-langchain>=0.1.29
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# ─── LLM stack (delete if your agent does not call an LLM) ──────────────
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langchain>=0.3.0
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langchain-openai>=0.2.0
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langchain-core>=0.3.0
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langgraph>=0.2.59
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openai>=1.50.0
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